Today trust is a key factor in distributed and collaborative environments aimed to model participating entities behavior, and to foresee their further actions. Yet, prior to the first interaction of a newcomer in the system trust and reputation models face a great challenge: how to assign an accurate initial reputation to a newcomer? The answer needs to tackle two well-known problems: cold-start and reputation bootstrapping. Cold-start is a common issue to any system when newcomers boot for the first time, while reputation bootstrapping especially affects highly distributed scenarios, where mobile entities travel across domains and collaborate with a number of them. In this paper we focus on the two problems, which are addressed through a novel reputation bootstrapping mechanism for newcomers in a collaborative alert system aimed at detecting distributed threats. Experiments confirm the accuracy of our proposal as well as its robustness in the presence of ill-intentioned entities. © 2013 Elsevier Inc.
Gil Pérez, M., Gómez Mármol, F., Martínez Pérez, G., & Skarmeta Gómez, A. F. (2014). Building a reputation-based bootstrapping mechanism for newcomers in collaborative alert systems. Journal of Computer and System Sciences, 80(3), 571–590. https://doi.org/10.1016/j.jcss.2013.06.012